The Real-Time Phishing Response Architecture™

Technical implementation standards for deploying synchronous, pre-click phishing interception across cloud, mobile, on-premises, and carrier environments.

Proprietary Framework

Deployment Models

☁️

Cloud API

Integrates directly with Microsoft 365 or Google Workspace via their native APIs. No MX changes. Analyzes emails post-delivery and pre-user-interaction.

Response Profile
Near-instant, no perceptible delay to mail delivery
Coverage
Email + Internal
Data Sovereignty
Cloud-resident data
Best For
Commercial enterprises, M365/Google Workspace environments
📱

On-Device Mobile

A lightweight neural engine runs natively on iOS/Android. Processes URL interactions locally, providing on-device protection for mobile users without a network round-trip.

Response Profile
Fastest — fully local, no network round-trip
Coverage
Email + SMS + Browser + Apps
Data Sovereignty
Fully on-device
Best For
Mobile workforce, high-risk users, personal devices
🏛️

On-Premises Container

Full Neural Defense Engine deployed as a containerized workload within the organization's own data center. No external data egress. Architected to support air-gapped deployment for the most restrictive network environments.

Response Profile
Near-instant within the data center perimeter
Coverage
Email + Internal (full perimeter)
Data Sovereignty
All data on-premises
Best For
Government, defense, and regulated financial institutions (confirm certification requirements directly — this page does not assert FedRAMP or equivalent certification)
📡

Telco Gateway

Carrier-grade integration at the SMS gateway level. Analyzes URLs embedded in text messages at network scale before delivery to subscriber handsets.

Response Profile
Optimized for network-scale throughput
Coverage
SMS/MMS (carrier-wide)
Data Sovereignty
Telco data center
Best For
Telecommunications providers, mobile network operators

Architectural Design Principles

The Real-Time Phishing Response Architecture™ is governed by three core design principles that apply across all deployment models:

  • Synchronous Interception: The defense must operate synchronously — the threat assessment must complete before the user's intended action executes. Asynchronous or post-facto detection is insufficient for preventing credential harvesting or social engineering.
  • Minimal Footprint: The detection engine is engineered to operate with minimal computational overhead across every deployment model, so protection doesn't introduce friction that causes users to bypass it.
  • Deployment Flexibility: No single deployment model is optimal for every organizational context. The architecture supports hybrid configurations — for example, cloud API for email combined with on-device mobile for personal devices — without requiring separate management consoles.

The Response Decision Tree

When a potential phishing interaction is identified, the architecture executes a response decision tree based on the confidence score, threat classification, and configured policy. The following illustrates a typical three-tier policy — actual thresholds are configurable per organization:

  • High Confidence Threat (typically configured above ~95% confidence): Synchronous block. The link does not resolve. The user is presented with a clear, plain-language explanation of why the interaction was stopped and who to contact for further assistance.
  • Medium Confidence: Warn and confirm. The user is presented with an intelligent warning explaining the specific risk signals detected, with an option to confirm intentional access (logged for SOC review).
  • Low Confidence: Allow with logging. The interaction proceeds, but the event is logged with full contextual data for SOC review. Repeated low-confidence accesses from the same user or to the same destination can auto-escalate to a review queue.
  • Post-Incident Remediation: For all blocked or confirmed threats, automated remediation actions are triggered — inbox sweep for similar links, SOC alert with full context, and optional organizational notification.

SIEM and SOAR Integration

The architecture exports detection events, verdicts, and remediation actions in standard formats (CEF, JSON, Syslog) compatible with common SIEM platforms. SOAR playbook triggers are available for automated incident-response workflows, allowing organizations to incorporate phishing response into their existing security operations processes. Confirm current certified integrations for your specific SIEM/SOAR platform directly with our team. Learn how this integrates with the full organizational response in The AI Fraud Prevention Lifecycle™.

Deploy the Architecture That Fits Your Environment

Cloud API, on-device mobile, on-premises container, or telco gateway — DefenceNet deploys to your environment without compromising on speed or coverage.